MLLocalTranslatorModel MLLocalTranslatorModel.Factory 错误码 com.huawei.hms.mlsdk.translate.cloud Overview Class Summary MLRemoteTranslateSetting MLRemoteTranslateSetting.Factory MLRemoteTranslator 错误码 co
@Override public Boolean query(ABATheory<T> beliefbase, Assumption<T> query, InferenceMode inferenceMode) { Argument arg = new Argument(query.getConclusion().toString()); DungTheory dt = beliefbase.asDungTheory(); AbstractExtensionReasoner aer = AbstractExtensionReasoner.getSimpleReasonerForSemantics...
An error occurred when running an mnn model inference demo below: import numpy as np import MNN import cv2 import time class Pose(): def __init__(self, model_path, joint_num=17, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]): sel...
def create_model(opt): if opt.model == 'pix2pixHD': from .pix2pixHD_model import Pix2PixHDModel, InferenceModel if opt.isTrain: model = Pix2PixHDModel() else: model = InferenceModel() else: from .ui_model import UIModel model = UIModel() model.initialize(opt) if opt.verbose:...
model_args (额外的位置参数, 可选) — 将传递给底层模型 __init__() 方法。...model_args(额外的位置参数,可选) — 将传递给底层模型__init__()方法。...model_args(额外的位置参数,可选) — 将传递给底层模型 __init__() 方法。...model_args(额外的位置参数,可选) — 将传递给底层...
model = nn.DataParallel(model) model.to(device) def _inference(engine, batch): model.eval() with torch.no_grad(): img, label = batch img = img.to(device) if torch.cuda.device_count() >= 1 else img label = label.to(device) if torch.cuda.device_count() >= 1 else label ...
Initialize the inference engine. During the initialization, load the model through the API of the model manager (AIModelManager), as shown in AIModelManager::Init. HIAI_StatusT FrameworkerEngine::Init(const hiai::AIConfig& config, const std::vector<hiai::AIModelDescription>& model_desc) { ...
free(model_net_2); return -1; } printf("model_len:%d\n",model_len); // rknn_init ret = rknn_init(&context_2, model_net_2, model_len, RKNN_FLAG_PRIOR_MEDIUM); if(ret < 0) { printf("rknn_init fail! ret=%d\n", ret); source_release(context_2, model_net_2); return -...
int model_len = 0; unsigned char *model; const char *model_path = argv[1];int xx=argc; if(xx<0) printf("xxxxxxxxxxxxxxxxxxxxerrrrrrrrrrrr\n"); printf("xxxxxxxxxxxxxx Loading model ...\n"); model = load_model(model_path, &model_len); ...
Product Form Linux Physical Machine Linux Physical Machine Container root User Running User Group (Non-root User) root User Atlas 300I inference card (model 3000) Y Y Y Atlas 300I inference card (model 3010) Y Y Y Example ... int ret; ret = dcmi_init(); ...Tradu...